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Our research focused on the assessment of fuel variation effects on performance of a 34 cc two-stroke, natural gas combustion engine designed for use as the prime mover in either slider-crank or novel linear generator applications. Nearly two-thirds of US homes have either natural gas or liquefied petroleum gas available at low pressures. We tested the engine with three different natural gas blends, pure methane, and pure propane. In order to reduce fuel compression power, we modified the engine to use low-pressure direct injection (LPDI) of gaseous fuels. We examined regulated gaseous emissions, greenhouse gas emissions, and combustion trends over a range of delivered air fuel ratios. Start of Injection (SOI) occurred at either 180 or 190 CA BTDC and efficiency improved by reducing fuel slip. However, for natural gas blends, the predominant emissions were methane - a potent greenhouse gas.

The control and design optimization of a Free Piston Engine Generator (FPEG) has been found to be difficult as each independent variable changes the piston dynamics with respect to time. These dynamics, in turn, alter the generator and engine response to other governing variables. As a result, the FPEG system requires an energy balance control algorithm such that the cumulative energy delivered by the engine is equal to the cumulative energy taken by the generator for stable operation. The main objective of this control algorithm is to match the power generated by the engine to the power demanded by the generator. In a conventional crankshaft engine, this energy balance control is similar to the use of a governor and a flywheel to control the rotational speed. In general, if the generator consumes more energy in a cycle than the engine provides, the system moves towards a stall.